From ai-experiment-logger
Generates a terminal report of AI experiments with summary statistics, top tools, ratings, tags, and recent activity. Supports optional filters for tool, tag, days, or rating.
How this command is triggered — by the user, by Claude, or both
Slash command
/ai-experiment-logger:reportThe summary Claude sees in its command listing — used to decide when to auto-load this command
# AI Experiments Report When the user runs `/ai-report`, generate a comprehensive, well-formatted terminal report of their AI experiments. ## Report Sections ### 1. Summary Statistics Display at the top: ### 2. Top Performing AI Tools Show the top 5 AI tools by average rating: ### 3. Rating Distribution Show distribution visually: ### 4. Most Used Tags Show top 10 tags: ### 5. Recent Activity Show last 7 days: ### 6. Latest Experiments Show the 5 most recent: ## Data Sources Use the `get_statistics` and `list_experiments` MCP tools to gather all data. ## Optional Filt...
When the user runs /ai-report, generate a comprehensive, well-formatted terminal report of their AI experiments.
Display at the top:
╔══════════════════════════════════════════════════════════════╗
║ AI EXPERIMENT LOGGER - SUMMARY REPORT ║
╚══════════════════════════════════════════════════════════════╝
📊 OVERVIEW
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Total Experiments: [count]
Average Rating: [X.XX] ⭐
Date Range: [earliest] → [latest]
Show the top 5 AI tools by average rating:
🏆 TOP AI TOOLS BY PERFORMANCE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. ChatGPT o1-preview ⭐ 4.85 avg (20 experiments)
2. Claude Sonnet 3.5 ⭐ 4.75 avg (18 experiments)
3. Gemini Pro ⭐ 4.20 avg (12 experiments)
Show distribution visually:
⭐ RATING DISTRIBUTION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
5 stars ████████████████████████████ (28)
4 stars ████████████████████ (20)
3 stars ██████████ (10)
2 stars ████ (4)
1 star ██ (2)
Show top 10 tags:
🏷️ POPULAR TAGS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
code-generation (15) debugging (12) research (10)
creative-writing (8) data-analysis (7) testing (6)
Show last 7 days:
📈 RECENT ACTIVITY (Last 7 Days)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
2025-10-13: ████████ (8 experiments)
2025-10-12: ██████ (6 experiments)
2025-10-11: ████ (4 experiments)
Show the 5 most recent:
📝 LATEST EXPERIMENTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[Oct 13, 2:30 PM] ChatGPT o1-preview ⭐⭐⭐⭐⭐
Prompt: Write a Python function to calculate Fibonacci
Tags: code-generation, python
[Oct 13, 1:15 PM] Claude Sonnet 3.5 ⭐⭐⭐⭐
Prompt: Debug React useState issue with async
Tags: debugging, react, javascript
Use the get_statistics and list_experiments MCP tools to gather all data.
Support these filters via arguments:
/ai-report tool:ChatGPT - Show report for specific tool/ai-report tag:code-generation - Show report for specific tag/ai-report days:30 - Show last 30 days only/ai-report rating:5 - Show only 5-star experimentsIf no experiments exist:
╔══════════════════════════════════════════════════════════════╗
║ AI EXPERIMENT LOGGER - SUMMARY REPORT ║
╚══════════════════════════════════════════════════════════════╝
📊 NO EXPERIMENTS YET
Get started by logging your first AI experiment:
/log-exp
Or use the MCP tool directly:
Use the log_experiment tool
16plugins reuse this command
First indexed Dec 31, 2025
Showing the 6 earliest of 16 plugins
npx claudepluginhub bulozb/claude-code-plugins-plus-skills --plugin ai-experiment-logger/reportGenerates a terminal report of AI experiments with summary statistics, top tools, ratings, tags, and recent activity. Supports optional filters for tool, tag, days, or rating.
/experimentRuns AI research experiments by delegating to the ai-research-workflows skill. Accepts topic, file references, or instructions as arguments; enters collaborative mode if none provided.
/trackLogs ML experiment parameters, metrics, and artifacts in a structured format for later comparison.
/experiment-trackerSynchronizes ML experiment metrics from code repositories to LaTeX paper drafts. Extracts metrics from CSV/JSON/YAML/log files and updates paper sections with diffs for user approval.